Text Summary Optimization Model Based On Extraction

Jeremia Siregar, Mr Tulus, Syahril Efendi


Text summarization can be classified into two approaches: extraction and abstraction. This paper focuses on extraction approach. The goal of text summarization based on extraction approach is sentence selection. Sentence weighting and then select the best ones. The first step in summarizing by extraction is the identification of important features. In our experiment, the source text that will be summarized is an Indonesian news article obtained from a news website or newspaper in the form of softcopy of text documents. Summarizing the text that is done is a single document summary. Summarizing results in the form of extraction from the source text and not stemming the input text. The method used is Fuzzy Based Method. Evaluation is done by comparing the content overlap between the automatic summary results and the reference summary using the ROUGE (Recall-Oriented Understanding for Gisting Evaluation) evaluation toolkit.

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